9,363 Lead Data Scientist jobs in India

The Lead Data Scientist in this team would have to be passionate about innovating and developing machine learning and data analytics solutions to build our industry-leading map. We provide the opportunity to collaborate with an energetic and dedicated team that works on cutting-edge technology to create tools and services. The candidate will work with researchers, developers, architects, IT to develop, deploy, and maintain applications in multiple environments.

Responsibilities:

• Help design and build the next iteration of process automation in HERE Core Map processes employing a highly scalable Big Data infrastructure and machine learning as applied to global-scale digital map-making.
• Build and test analytic and statistical models to improve a wide variety of both internal data-driven processes for map-making data decisions and system control needs.
• Act as an expert and evangelist in areas of data mining, machine learning, statistics, and predictive analysis and modeling.
• Function as a predictive modeling or application team lead on Core Map projects.
• MS or PhD in a discipline such as Statistics, Applied Mathematics, Computer Science, or Econometrics with an emphasis or thesis work on one or more of the following: computational statistics/science/engineering, data mining, machine learning, and optimization.
• Minimum of 8+ years related professional experience.
• Knowledge of data mining and analytic methods such as regression, classifiers, clustering, association rules, decision trees, Bayesian network analysis, etc. Should have expert-level knowledge in one or more of these areas.
• Knowledge of Computer Vision, Deep Learning and Point Cloud Processing algorithms.
• Proficiency with a statistical analysis package and associated scripting language such as Python, R, Matlab, SAS, etc.
• Programming experience with SQL, shell script, Python, etc.
• Knowledge of and ideally some experience with tools such as Pig, Hive, etc., for working with big data in Hadoop and/or Spark for data extraction and data prep for analysis.
• Experience with and demonstrated capability to effectively interact with both internal and external customer executives, technical and non-technical to explain uses and value of predictive systems and techniques.
• Demonstrated proficiency with understanding, specifying and explaining predictive modeling solutions and organizing teams of other data scientists and engineers to execute projects delivering those solutions.

Preferred Qualifications:

• Development experience with and Scala
• Development experience with Docker
• Development experience with GIS data
• Development experience with NoSQL (i.e. DynamoDB)

Data scientist who can think out of the box and expects more from their career.

• Research business domain and develop use-cases to support enterprise-wide AI/ML solutions.
• Model design, feature planning, system infrastructure, production setup and monitoring, and release management.
• Excellent understanding of machine learning techniques and algorithms, such as SVM, Decision Forests, k-NN, Naive Bayes etc.
• Experience in selecting features, building and optimizing classifiers using machine learning techniques.
• Prior experience with data visualization tools, such as D3.js, GGplot, etc.
• Good knowledge on statistics skills, such as distributions, statistical testing, regression, etc.
• Adequate presentation and communication skills to explain results and methodologies to non-technical stakeholders.
• Test, troubleshoot and enhance the developed models in a distributed environments to improve it's accuracy.
• Work closely with product teams to implement algorithms with Python and/or R.
• Design and implement scalable predictive models, classifiers leveraging machine learning, data regression.
• Facilitate integration with enterprise applications using APIs to enrich implementations.

Profile Required:

• Minimum 5 years of experience in designing/developing industrial IT solutions with Data Science
• Minimum 3-5 years of experience in developing and deploying machine learning, deep learning, NLP solutions.
• Very strong grasp of IT concepts with a strong algorithms/data structures background.
• Background building systems with a major machine learning libraries strong proficiency with libraries like scikit-learn, pandas, PyTorch/TensorFlow.
• Background in applying deep learning to real problems and knowledge of a major framework
• Experience with common data science toolkits, such as Scikit, NumPy, R libraries - Excellence in at least one of these is mandatory.
• Proficiency with any one NoSQL databases such as MongoDB, Cassandra, HBase.
• Should have prior experience in developing APIs, services using either C# or Java.
• Should have good awareness on entire machine learning/ predictive modeling & implementation.
• Proficient in Python, API integration, and ML libraries like Hugging Face Transformers, LangChain, and OpenAI API.
• Strong understanding of NLP techniques and model evaluation metrics.
• Experience deploying GenAI solutions in cloud environments (AWS/GCP/Azure).
• Familiarity with prompt tuning, RAG, embeddings, and vector stores.
• practical knowledge of MLOps practices (model versioning, deployment pipelines, monitoring).
• Hands on Experience in CI/CD , Devops Principle .

Specific Context

Opportunity to work with some of the best minds in a team and learn a lot on the technical front. Get mentored/groomed on the best practices followed in the software industry.

"Internal Interfaces:

- Team members, Technical leader, Business Analyst, Product Owners,

External Interfaces:

- Onshore team, Developers, Technical Lead, Business Analyst, End Users"

Environment

At Société Générale, we are convinced that people are drivers of change, and that the world of tomorrow will be shaped by all their initiatives, from the smallest to the most ambitious. Whether you’re joining us for a period of months, years or your entire career, together we can have a positive impact on the future. Creating, daring, innovating, and taking action are part of our DNA. If you too want to be directly involved, grow in a stimulating and caring environment, feel useful on a daily basis and develop or strengthen your expertise, you will feel right at home with us!

Still hesitating?

You should know that our employees can dedicate several days per year to solidarity actions during their working hours, including sponsoring people struggling with their orientation or professional integration, participating in the financial education of young apprentices, and sharing their skills with charities. There are many ways to get involved.

We are committed to support accelerating our Group’s ESG strategy by implementing ESG principles in all our activities and policies. They are translated in our business activity (ESG assessment, reporting, project management or IT activities), our work environment and in our responsible practices for environment protection.

Why Join Us

“We are committed to creating a diverse environment and are proud to be an equal opportunity employer. All qualified applicants receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status”.

Tezo is a new generation Digital & AI solutions provider, with a history of creating remarkable outcomes for our customers. We bring exceptional experiences using cutting-edge analytics, data proficiency, technology, and digital excellence.

Tezo is seeking passionate AI Engineers who are excited about harnessing the power of Generative AI to transform our company and provide cutting-edge solutions for our clients. Join us in revolutionizing enterprises by building intelligent, generative solutions that leverage AI/ML. If you've ever dreamed of contributing to impactful projects on a large scale, this is the opportunity for you!

In this role, you will be an integral part of the Machine Learning Platforms/Data Science team, focusing on developing, testing, and deploying generative AI models.

What Makes Our AI/ML Practice Unique:

• Purpose-driven: We actively respond to our customers' evolving needs with innovative solutions.
• Collaborative: We foster a positive and engaging work environment where collective ideas thrive.
• Accountable: We take ownership of our performance, both individually and as a team.
• Service Excellence: We maximize our potential through continuous learning and improvement.
• Trusted: We empower individuals to make informed decisions and take calculated risks.

Job Summary:

We are looking for a dedicated Lead Data Scientist with a strong background in Generative AI to join our team. You will support product, leadership, and client teams by providing insights derived from advanced data analysis and generative modeling.

In this role, you will collaborate closely with the development team, architects, and product owners to build efficient generative models and manage their lifecycle using the appropriate technology stack.

Core Requirements:

• At least 6 years of experience working with geographically distributed teams
• 2+ years of experience working in a client-facing role on AI/ML .
• Demonstrable experience in leading a substantive area of work, or line management of a team.
• Proven experience in building production grade Retrieval-Augmented Generation (RAG) solutions with hands on experience with advanced RAG techniques for retrieval, re-ranking etc.
• Build GenAI applications using LangChain, LlamaIndex and familiarity with Vector Stores and Large Language Models.
• Experience in fine-tuning Large Language Models (LLMs) for business use cases will be preferred.
• Minimum of 4 years of experience in developing end-to-end classical machine learning and NLP projects.
• Demonstrated experience in deploying ML solutions in production using cloud services like Azure,AWS.
• Business Understanding, Stakeholder management and Team leading skills.
• Strong practical expertise in Python and SQL needed for data science projects.

Join us at Tezo to be part of a dynamic team committed to driving innovation through Generative AI solutions!

Designation: Lead Data Scientist

We are seeking a highly motivated and experienced Lead Data Scientist to join our growing team. In this role, you will be responsible for leading complex data science projects, mentoring junior data scientists, and driving the development of innovative solutions that leverage data to achieve business objectives. You will apply your deep expertise in machine learning, statistical modeling, and data analysis to extract actionable insights and drive strategic decision-making.

Experience: 8–11 Years

Job Type: Full-time

Responsibilities:

• End-to-end delivery ownership of ML and GenAI use cases.
• Architect RAG pipelines and build enterprise-scale GenAI accelerators.
• Collaborate with architects and presales teams.
• Ensure code modularity, testability, and governance.

Required Skills:

• LangChain, LangGraph, embedding techniques, prompt engineering.
• Classical ML: XGBoost, Random Forest, time-series forecasting.
• Knowledge of Python ML stack and FastAPI.
• Strong understanding of security and cloud optimization.

We are looking for a Lead Data Scientist to join our dynamic team at MakeMyTrip. This is an exceptional opportunity for a seasoned expert to contribute to our hotel ranking, recommendations, pricing, discovery and personalization charters.

Responsibilities:

• Train and deploy best in class deep learning models for ranking, pricing, recommendation, representation learning.
• Work with stakeholders at various stages of project, lead project development from inception to completion.
• Be a SQL python ninja, understand data thoroughly, build smart AI/ML systems.
• Opportunity to work with large click stream e-commerce data sets, at MakeMyTrip and GoIbibo, i. e., in rapidly growing travel space.
• Build and own robust data science APIs meeting 99% SLA at very high RPS. Also ensure training/inference MLOps rigour.
• Show business impact while having opportunity to build best in class AI/ML models.

Requirements:

• Bachelor's degree in mathematics, Statistics, related technical field, or equivalent practical experience.
• A minimum of 6 years of experience in one or more of the following:
• ML Modeling, Learning to Rank, Recommendations, or Personalization systems.
• Knowledge of advanced ML techniques such as Classification, Learning to Rank Methods, Recommender Systems, Dynamic Pricing, Choice modelling, Anomaly Detection, Time Series Forecasting.
• Experience with statistical data analysis such as linear models, multivariate analysis, stochastic models, and sampling methods.
• Experience of deploying models into production is preferred
• Experience with applying machine learning techniques to big data systems (e. g., Spark) with TB to PB scale datasets.
• Experience with data querying languages (e. g., SQL), scripting languages (e. g., Python), and/or statistical/mathematical software.
• Strong research record demonstrated through publications.
• Experience with design and analysis of experiments.
• Experience with large-scale A/B testing systems, especially in the domain of online advertising or online commerce.

OUR STORY

Quince was started to challenge the existing idea that nice things should cost a lot. Our mission was simple: create an item of equal or greater quality than the leading luxury brands and sell them at a much lower price.

OUR VALUES

Customer First. Customer satisfaction is our highest priority.

High Quality. True quality is a combination of premium materials and high production standards that everyone can feel good about.

Essential design. We don't chase trends, and we don't sell everything. We're expert curators that find the very best and bring it to you at the lowest prices.

Always a better deal. Through innovation and real price transparency we want to offer the best deal to both our customers and our factory partners.

Environmentally and Socially conscious. We're committed to sustainable materials and sustainable production methods. That means a cleaner environment and fair wages for factory workers.

OUR TEAM AND SUCCESS

Quince is a retail and technology company co-founded by a team that has extensive experience in retail, technology and building early stage companies. You'll work with a team of world-class talent from Stanford GSB, Google, D.E. Shaw, Stitch Fix, Urban Outfitters, Wayfair, McKinsey, Nike etc.

THE IDEAL CANDIDATE:

We are seeking passionate individuals who are enthusiastic about transforming the way people purchase essential goods through innovative data science and AI solutions. We are a centralized data science team that optimize and automate the decision making and provide valuable and actionable business insights. As a Lead Storefront Data Scientist at Quince, you will lead the exploration, design, and implementation of data science solutions to enhance personalization, ranking, search and discovery. Your work will greatly enhance the customer experience, providing you with the opportunity to significantly influence the future success of Quince.

RESPONSIBILITIES:

• Develop and refine machine learning and statistical models to deliver personalized customer experience, including product search, ranking, and recommendations on site, app and CRM channels.
• Create new ranking features and construct end-to-end modeling pipelines utilizing the latest ML/AI technologies.
• Deploy ML models into production, run live experiments, and enable performance monitoring in production.
• Collaborate across functions: Work closely with product, business, and engineering partners to initiate, develop, and deploy solutions with cross-functional support.
• Communicate insights: Present outcomes and insights to business stakeholders and leadership.
• Enhance data infrastructure: Identify gaps in existing data, create data product specifications, and collaborate with Engineering teams to implement enhanced data tracking.
• Promote best practices: Partner with the Analytics team and other functions to share insights and best practices, ensuring consistency in data-driven decision-making across the organization.
• Drive automation and scale: Continuously strive for automated and production-ready solutions to improve efficiency and scalability.

REQUIREMENTS:

• MS or PhD in statistics, mathematics, engineering, computer science or another quantitative field AND 7 to 10 years of experience as a data scientist in relevant industry.
• Hands-on experience applying machine learning, predictive modeling, GenAI to developing Recommender System, Ranking, and Personalization.
• Deep knowledge in:
• Proficient in Python and SQL.
• Excellent communication and presentation skills.
• Experience with BI platforms such as Looker, Tableau etc.
• Move fast, be a team player, and kind.

Quince provides equal employment opportunities to all employees and applications for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran or military status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.

If you require reasonable accommodation during any part of the application or interview process, please contact We are committed to ensuring an inclusive and accessible hiring process for all candidates.

Security Advisory: Beware of Frauds

At Quince, we're dedicated to recruiting top talent who share our drive for innovation. To safeguard candidates, Quince emphasizes legitimate recruitment practices. Initial communication is primarily via official Quince email addresses and LinkedIn; beware of deviations. Personal data and sensitive information will not be solicited during the application phase. Interviews are conducted via phone, in person, or through the approved platforms Google Meets or Zoom—never via messaging apps or other calling services. Offers are merit-based, communicated verbally, and followed up in writing. If personal information is requested to initiate the hiring process, rest assured it will be through secure and protected means.

Data Scientist/GenAI - Manager

Team: AWS Data Engineering

Location: Pune

Job Description :

We are actively seeking a highly skilled and accomplished Senior Data Scientist with a minimum of 6 years of experience.

The ideal candidate should have deep understanding in designing and developing applications based on Large Language Models (LLMs).

A deep understanding of foundational models, frameworks, and techniques is crucial for success in this role, apply innovative solutions to complex problems.

Additionally, expertise in working within cloud computing environments to deploy and manage machine learning models is essential.

Key Responsibilities:

• Design, develop, and implement state-of-the-art generative AI models.
• Collaborate with cross-functional teams to define project goals, research requirements, and deliver innovative solutions.
• Optimize solutions through thorough research, experimentation, and advanced problem-solving techniques.
• Keep up-to-date with the newest developments in generative AI, deep learning, and associated areas, integrating emerging methods into the team's processes.
• Develop and maintain clear and concise documentation of generative AI models, processes, and results.
• Communicate complex concepts and results effectively to both technical and non-technical stakeholders.
• Provide support and guidance to team members, contributing to a positive and collaborative working environment.

Skills:

• Design, development, and deployment of LLM-based applications.
• Proficient coding skills in Python and SQL.
• Thorough understanding of prompt engineering, including refining and optimizing prompts to enhance the outcomes of Large Language Models (LLMs).
• Working experience with LangChain and a comprehensive understanding of LangChain concepts such as agents, chains, memory, and tools.
• Knowledge of vector databases and embeddings.
• Familiarity with the landscape of LLMs, including the GPT family of models and open-source models like LLaMA and Falcon.
• Experience in cloud computing platforms: AWS preferred/GCP/Azure
• Experience with large-scale data processing and distributed computing is a plus.
• API understanding

Nice to have:

• AWS working understanding e.g. Lambda,Sagemaker
• Vector databases